Title: Multiphysics system analysis and optimization under uncertainty
Author: Mathieu Balesdent (ONERA)

The design of complex systems (e.g., in the aerospace field) usually requires multidisciplinary (or multiphysics) simulation tools  in order to model the different disciplines (e.g., propulsion, structure, aerodynamics, trajectory). These disciplines have to be coupled into a multidisciplinary process to assess the global performance and reliability of the system, involving the solving of non linear interdisciplinary system of equations. Taking all these disciplines and the corresponding couplings into account at the same time involves several methodological challenges both in optimization and uncertainty quantification. In this talk, we review the main methods to deal with such multiphysics (or multidisciplinary) problems with a focus on recent advances in the fields of optimization, multi-fidelity modeling, and uncertainty quantification [1].

Joint work with L. Brevault

[1] Brevault, L., Balesdent, M., & Morio, J. (2020). Aerospace System Analysis and Optimization in Uncertainty. Springer.